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Test case generation for visual contracts using AI planning

dc.contributor.authorSchnelte, Matthias
dc.contributor.authorGüldali, Baris
dc.contributor.editorFähnrich, Klaus-Peter
dc.contributor.editorFranczyk, Bogdan
dc.date.accessioned2019-01-11T10:29:47Z
dc.date.available2019-01-11T10:29:47Z
dc.date.issued2010
dc.description.abstractIn this paper, we propose a novel approach for computing test case preambles using visual contracts and AI Planning. In unit testing, preambles are required for setting the class under test into a controlled state (prestate). The class operation can then be invoked with test inputs. In previous research, we have used model checking for computing preambles. In this paper, we show how preamble computation is conducted by AI Planning and discuss its differences to model checking.en
dc.identifier.isbn978-3-88579-270-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19420
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 2
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-176
dc.titleTest case generation for visual contracts using AI planningen
dc.typeText/Conference Paper
gi.citation.endPage374
gi.citation.publisherPlaceBonn
gi.citation.startPage369
gi.conference.date27.09.-01.10.2010
gi.conference.locationLeipzig
gi.conference.sessiontitleRegular Research Papers

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